{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gym\n",
    "import sys\n",
    "import itertools\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from collections import defaultdict, namedtuple\n",
    "\n",
    "from sklearn.pipeline import FeatureUnion\n",
    "from sklearn.preprocessing import StandardScaler as Scaler\n",
    "from sklearn.linear_model import SGDRegressor as SGD\n",
    "from sklearn.kernel_approximation import RBFSampler as RBF\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "%matplotlib inline\n",
    "matplotlib.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33mWARN: gym.spaces.Box autodetected dtype as <class 'numpy.float32'>. Please provide explicit dtype.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "env = gym.envs.make(\"MountainCar-v0\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Estimator():\n",
    "    \"\"\"\n",
    "    Value Function approximator. \n",
    "    \"\"\"\n",
    "    def __init__(self):        \n",
    "        # sampleing envrionment state in order to featurize it. \n",
    "        observation_examples = np.array([env.observation_space.sample() for x in range(10000)])\n",
    "        \n",
    "        # Feature Preprocessing: Normalize to zero mean and unit variance\n",
    "        # We use a few samples from the observation space to do this\n",
    "        self.scaler = Scaler()\n",
    "        self.scaler.fit(observation_examples)\n",
    "                \n",
    "        # Used to convert a state to a featurizes represenation.\n",
    "        # We use RBF kernels with different variances to cover different parts of the space\n",
    "        self.featurizer = FeatureUnion([\n",
    "                (\"rbf1\", RBF(gamma=5.0, n_components=100)),\n",
    "                (\"rbf2\", RBF(gamma=2.0, n_components=100)),\n",
    "                (\"rbf3\", RBF(gamma=1.0, n_components=100)),\n",
    "                (\"rbf4\", RBF(gamma=0.5, n_components=100))\n",
    "                ])\n",
    "        self.featurizer.fit(self.scaler.transform(observation_examples))\n",
    "\n",
    "        # action model for SGD regressor\n",
    "        self.action_models = []\n",
    "        self.nA = env.action_space.n\n",
    "        \n",
    "        for na in range(self.nA):\n",
    "            model = SGD(learning_rate=\"constant\")\n",
    "            model.partial_fit([self.__featurize_state(env.reset())], [0])\n",
    "            self.action_models.append(model)\n",
    "    \n",
    "        # print(self.action_models)\n",
    "        \n",
    "    def __featurize_state(self, state):\n",
    "        \"\"\"\n",
    "        Returns the featurized representation for a state.\n",
    "        \"\"\"\n",
    "        scaled = self.scaler.transform([state])\n",
    "        return self.featurizer.transform(scaled)[0]\n",
    "    \n",
    "    def predict(self, s, a=None):\n",
    "        \"\"\"\n",
    "        Makes value function predictions.\n",
    "        \n",
    "        Args:\n",
    "            s: state to make a prediction for\n",
    "            a: (Optional) action to make a prediction for\n",
    "            \n",
    "        Returns\n",
    "            If an action a is given this returns a single number as the prediction.\n",
    "            If no action is given this returns a vector or predictions for all actions\n",
    "            in the environment where pred[i] is the prediction for action i.\n",
    "            \n",
    "        \"\"\"\n",
    "        features = self.__featurize_state(s)\n",
    "        if not a:\n",
    "            return np.array([model.predict([features])[0] for model in self.action_models])\n",
    "        else:\n",
    "            return self.action_models[a].predict([features])[0]\n",
    "    \n",
    "    def update(self, s, a, y):\n",
    "        \"\"\"\n",
    "        Updates the estimator parameters for a given state and action towards\n",
    "        the target y.\n",
    "        \"\"\"\n",
    "        cur_features = self.__featurize_state(s)\n",
    "        self.action_models[a].partial_fit([cur_features], [y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "class VF_QLearning():\n",
    "    \"\"\"\n",
    "    Value Funciton Approximator with Q-learning \n",
    "    \n",
    "    Q-Learning algorithm for TD control using Function Approximation.\n",
    "    Finds the optimal greedy policy while following an epsilon-greedy policy.\n",
    "    \"\"\"\n",
    "    def __init__(self, env, estimator, \n",
    "                 num_episodes, epsilon=0.1, \n",
    "                 discount_factor=1.0, epsilon_decay=1.0):\n",
    "        \n",
    "        self.nA = env.action_space.n\n",
    "        self.nS = env.observation_space.shape[0]\n",
    "        self.env = env\n",
    "        self.num_episodes = num_episodes\n",
    "        self.epsilon = epsilon\n",
    "        self.discount_factor = discount_factor\n",
    "        self.epsilon_decay = epsilon_decay\n",
    "        self.estimator = estimator\n",
    "        \n",
    "        # Keeps track of useful statistics\n",
    "        record_head = namedtuple(\"Stats\",[\"episode_lengths\", \"episode_rewards\"])\n",
    "        self.record = record_head(\n",
    "            episode_lengths=np.zeros(num_episodes),\n",
    "            episode_rewards=np.zeros(num_episodes))\n",
    "        \n",
    "    def __epislon_greedy_policy(self, nA, epislon=0.5):\n",
    "        \"\"\"\n",
    "        epislon greedy policy algorithm\n",
    "        \"\"\"\n",
    "        def policy(state):\n",
    "            A = np.ones(nA, dtype=float) * epislon / nA\n",
    "            Q = self.estimator.predict(state)\n",
    "            best_action = np.argmax(Q)\n",
    "            A[best_action] += (1.0 - epislon)\n",
    "            \n",
    "            return A\n",
    "        \n",
    "        return policy\n",
    "            \n",
    "    def __random_aciton(self, action_prob):\n",
    "        \"\"\"\n",
    "        \"\"\"\n",
    "        return np.random.choice(np.arange(len(action_prob)), p=action_prob)\n",
    "    \n",
    "    def q_learning(self):\n",
    "        \"\"\"\n",
    "        \"\"\"\n",
    "        for i_episode in range(self.num_episodes):\n",
    "            # print the number iter episode\n",
    "            num_present = (i_episode+1)/self.num_episodes\n",
    "            print(\"Episode {}/{}\".format(i_episode + 1, self.num_episodes), end=\"\")\n",
    "            print(\"=\"*round(num_present*60))\n",
    "            \n",
    "            # The policy we're following\n",
    "            policy_epislon = self.epsilon * self.epsilon_decay**i_episode\n",
    "            policy = self.__epislon_greedy_policy(self.nA, policy_epislon)\n",
    "\n",
    "            # Print out which episode we're on, useful for debugging.\n",
    "            # Also print reward for last episode\n",
    "            last_reward = self.record.episode_rewards[i_episode - 1]\n",
    "            sys.stdout.flush()\n",
    "\n",
    "            # Reset the environment and pick the first action\n",
    "            state = env.reset()\n",
    "\n",
    "            next_action = None\n",
    "            \n",
    "            # One step in the environment, replace while(True)\n",
    "            for t in itertools.count():\n",
    "                action_probs = policy(state)\n",
    "                action = self.__random_aciton(action_probs)\n",
    "                \n",
    "                # Take a step\n",
    "                next_state, reward, done, _ = env.step(action)\n",
    "\n",
    "                # Update statistics\n",
    "                self.record.episode_rewards[i_episode] += reward\n",
    "                self.record.episode_lengths[i_episode] = t\n",
    "\n",
    "                # TD Update\n",
    "                q_values_next = estimator.predict(next_state)\n",
    "                # Q-Value TD Target\n",
    "                td_target = reward + self.discount_factor * np.max(q_values_next)\n",
    "                # Update the function approximator using our target\n",
    "                estimator.update(state, action, td_target)\n",
    "\n",
    "                print(\"\\rStep {} with reward ({})\".format(t, last_reward), end=\"\")\n",
    "\n",
    "                if done: break\n",
    "\n",
    "                state = next_state\n",
    "\n",
    "        return self.record"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Episode 1/100=\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.\n",
      "  \"and default tol will be 1e-3.\" % type(self), FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 199 with reward (0.0)Episode 2/100=\n",
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      "Step 151 with reward (-124.0)"
     ]
    }
   ],
   "source": [
    "estimator = Estimator()\n",
    "vf = VF_QLearning(env, estimator, num_episodes=100, epsilon=0.2)\n",
    "result = vf.q_learning()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x19ab0668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c1a36d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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43/7AXfExzyb0mcl0P2GAkMfM7FwLIwCeZGbfMLMLmnMC4mTpbuC/MpLTbwFfsjA/3VEWRm+8wMx+lfG+3YQbmU/Hn6t2X68TmnBm/tq/lHAT+JX4vFxAuDHNxR2EROFWMzvMzC4kDPDTlP8GbjSza81stIWRIj8HfC9ru/sIA758ntB3LbMG7HuEm8s/mNmJcexnWhj9cESO8SehpeXjWcL3dFLtAjM73sJonVFcFkaY2SeBrwEz46awLZXL9fAzoBdwb3z8yYRa3hne+9pBV94GBpjZJDMrzWha3Ki4lvR7wPcsjNB6uIVRiy8zsx/E25QTBl65M/7uxxAGmOnZxO7/SKj9edDMxpnZeEINdjWhBr82hoWEBOjXhOv+Txnrygn94H5tZldZGA30WDP7J9u32W+uphGaui7xH4zwPI1wHc/K+CGopf6X0Jz7pvi6+wzh70Gm/yE0gb3dzI6wMMLrTwl9GzMTr9q4pnvva+Kmy8+T8TenIWb2b2Z2Rfx9Dgf+iZAI71NzbGFgn0cJgwHdnfV/Qaf4WFOBv5nZhfE1MN7C6K7XNhHHcRZGE+4L9Mh4XWsq4Qea2r8xJxHK95z4s9buxwg/dD3W2PFEpGWUKIpIfU4lNP3JfmTOD/cXwoieMwg3eo8TbpLrU0MYWORuQo3Lk4RBET4F4L33wAWEfoGPEfo5DSAMlLE23qaaMLriiYT+VT8m9JnZK76ZO53w6/JvCTc/f4vf05IRN28n9D28Jt7/7wkjBn6UcCP/EmHwh+qs9z1DaNqfedM2LXuZ9/41Qs3A9YSk+auE0Seb5L2fRzh/lxGS0K8TahSa8gtCMvrN+Jj/Dnzdh6HqMz0BbCT0m/pd5grv/WJCTVIPwnf5BuGG/oD4PUWppeUjriV9gLo39iuAcsJ5nEn4Dm4hJNgfb2WcuVwP7wLnEpoqv0S4oV9I6C9Z62HCqLiPEZKzhq7P+mK4hVCePkvoYzkjfl2Zsdk/Ea7FRwk379WE2qfG9rsjjnsnoT/e84Tmoef5fec4vI/Qb/gfGclbresIP5Z8i1D+niEkSo3WpjUip2u2pbz3DxF+yPkaoX/qFYRrL3Ob1whl53TCOf894bu7IY+xbib83ZxNKLMXAhf7jNFFMxxC+EHofPb9v+DQuJx+nHAN3c4H5fWjNNKyJDY/fpxP+AGm9jWwt9/uxwijvD5D6LdaAXwiPm6tMwh/h1wTxxORFrC615uISNPM7DnCyHifTToWkbZgYSqCl4GxLWjGLCIFYGaPA8977xubmklEWkg1iiIiIk2I+75dT5iaQUQSZmY9CTWjP0o6FpH9lWoURaTZVKMoIiIisn9ToigiIiIiIiJ1JD6PYhRFlxIGgzgSONE593LW+iGEjuo3O+d+GC87jzCQRSfgN865+ubyEhERERERkRYohj6KC4GLCKOf1ecOMubviqKoE3AnYdj2McDlURSNaeC9IiIiIiIi0kyJ1yg65xYDRFG0z7ooii4gDHWdOS/biUC5c25ZvM0DwCf4YD62xqidrYiIiIiIdHTW1AaJJ4oNiaKoO2GOoXMIc4vVGkSYv6pWFRmTIDdl5UqNai5QWlrK2rVrkw5DpEEqo1LsVEal2KmMSrFLqoyWlZXltF2bJIpRFE0lTBac7VvOuUcaeNt/Anc457Zm1TbWl/02WFMYRdF1hIl5cc5RWlqaW9CyXyspKVFZkKKmMirFTmVUip3KqBS7Yi+jbZIoOuemtOBtJwGXRFF0G3AQkI6i6H1gHnBoxnaDgQarCZ1zdwF3xS+9flkS0K+MUvxURqXYqYxKsVMZlWKnGsUWcs6dWvs8iqKbga3OuZ9FUVQCjI6iaDhQDVwGfCqZKEVERERERPY/iY96GkXRhVEUVQGTgMeiKHqyse2dczXAF4EngcVhkVtU+EhFREREREQ6BvO+Qw0E6jWYjYCao0jxUxmVYqcyKsVOZVSKXcJNT5sc9TTxGkUREREREREpLkoURUREREREpA4liiIiIiIiIlKHEkURERERERGpQ4miiIiIiIiI1KFEUUREREREROpQoigiIiIiIiJ1KFEUERERERGROpQoioiIiIiISB1KFEVERERERKQOJYoiIiIiIiJ55Fe8jfc+6TBaRYmiiIiIiIhIHvidO0n/8Vekv3sTzJ+ddDitUpJ0ACIiIiIiIu2dX/Ym6Xt+BO9WY1M+DkeNTzqkVlGiKCIiIiIi0kK+Zjf+0Qfxj/8F+vQj9a+3YEcem3RYraZEUUREREREpAV89XLS99wB7yzDTj4b++RnsQO7Jx1WXihRFBERERERaQaf3oN/+v/wD/8eDuhO6vPfxI6fmHRYeaVEUUREREREJEd+3RrS99wOby2C404iddUXsF4HJR1W3ilRFBERERERyVH6gbtgeQX2mZuwSWdhZkmHVBBKFEVERERERHLgvYeKJdi4k0mdfHbS4RSU5lEUERERERHJxYa1sGUTDB+ddCQFp0RRREREREQkF5VLAbChoxIOpPCUKIqIiIiIiOTAV5ZDp05w6PCkQyk4JYoiIiIiIiI58MvLYdBQrHOXpEMpOCWKIiIiIiIiTfDeQ2V5h2h2CkoURUREREREmrZmNWzfCsP2/4FsQImiiIiIiIhIk3ztQDbDVKMoIiIiIiIiAMvLoaQzlA1NOpI2oURRRERERESkCb6yHA4djpWUJB1Km1CiKCIiIiIi0gif3gPLK+gozU5BiaKIiIiIiEjj3l0JO3fA0I4xkA0oURQREREREWmUrywHwDrIiKegRFFERERERKRxlUuhazcYOCjpSNqMEkUREREREZFG+OXlMGQEluqUdChtRomiiIiIiIhIA3xNDbyzDOtA/RNBiaKIiIiIiEjDVq2A3bugA414CkoURUREREREGuQrlwIdayAbUKIoIiIiIiLSsMpyOKA79B+QdCRtSomiiIiIiIhIA/zychg6Ekt1rNSpY31aERERERGRHPndu6Gqko7W7BSUKIqIiIiIiNSvqhL21GAdbCAbUKIoIiIiIiJSL788DGSDahRFREREREQEgMql0KMX9O2fdCRtTomiiIiIiIhIPXxlOQwbhZklHUqbU6IoIiIiIiKSxe/cCStX0BEHsgEliiIiIiIiIvtaUQE+jQ3teAPZgBJFERERERGRffjK8vCkA454CkoURURERERE9rW8HA7qix3UL+lIEqFEUUREREREJIuvXAodtNkpKFEUERERERGpw+/YDqur6agD2YASRRERERERkbqWh/6J1kH7J4ISRRERERERkTp8nCgyVDWKIiIiIiIiAlBZDv0Oxnr2SjqSxChRFBERERERyeArl3bYaTFqKVEUERERERGJ+a2bYe27dOSBbECJooiIiIiItAO+pga/aUPhD7S8AgDrwFNjgBJFERERERFpB/w//kL6G9fiV1UV9jiVS8OToSMLepxiV5J0AFEUXQrcDBwJnOicezlePgxYDLwZbzrHOXdDvG48cC9wAPA4cJNzzrdp4CIiIiIi0mb8/Bdh9y7S9/2E1Nf+G0t1KsxxKsvhkEHYgT0Ksv/2IvFEEVgIXAT8qp51Fc654+pZ/gvgOmAOIVE8D3iiYBGKiIiIiEhi/KYN8E4FDD8MKpbgpz2GTfl4YQ62vBwbPbYw+25HEm966pxb7Jx7s+ktgyiKBgK9nHOz41rE3wEXFCxAERERERFJlF/0CgCpKz8HR5+Af+j3+DWr83+cl2fAhrUdfsRTKI4axcYMj6JoPrAZ+LZz7gVgEJDZMLkqXlavKIquI9Q+4pyjtLS0gOFKe1FSUqKyIEVNZVSKncqoFDuV0f3LxqWL2N2nH6XHn0h6yHDW3XQFnf74S/p896eYWav373fvZuvv7mT7o47Oh43loI9dSqrAcygWexltk0QxiqKpwIB6Vn3LOfdIA29bBQxxzq2L+yQ+HEXRWKC+ktBg/0Tn3F3AXbXbrV27thmRy/6qtLQUlQUpZiqjUuxURqXYqYzuP3x6D+n5L2LHTGDdunVACi6+ht2/v5M1D91P6rTzWrf/9WtI/+o2WPYmdvb57LnkGtbv3AU7C1t+kiqjZWVlOW3XJomic25KC96zE9gZP58XRVEFcBihBnFwxqaDgZX5iFNERERERIrM20th2xY4evzeRXbqufiXXsD/+bf4o8Zjffu3aNd+4Suk7/5fqKkhdf3XsBMm5yvqdi/xPooNiaKofxRFneLnI4DRwDLn3CpgSxRFE6MoMuBqoKFaSRERERERacf8wnlgKWzMB2Ncmhmpq78I6TTpP/wC75s3AYJP7yH9yP2kf/Kf0LsvqW/driQxS+KJYhRFF0ZRVAVMAh6LoujJeNVpwGtRFL0K/AW4wTm3Pl73OeA3QDlQgUY8FRERERHZL/nX58GIw7DuPesst/4DsAuvgtdfxs95Lvf9bd5I+kc34x99EJt0Fqlv/BAb0OCQJx2WNTf7buf8ypVqpSrqtyDFT2VUip3KqBQ7ldH9g9+8kfRXrsY+cQWpj31y3/XpPaRv+wasqiL13Tux3n0a3tfu3fgFL+Ldb2DbVuxT15OafE4hw29Uwn0UmxwBKPEaRRERERERkfr4RfMBsIz+iZks1YnUp78Eu3aS/mN907KDr3qb9AO/Jv21a/B33QZdDyD1jf9JNElsD4p9egwREREREemoFs6Dnr3h0BENbmIDB2Mfvxz/t9/h583Exp+C37YVP3c6fuZUWF4OJSXYsSdhk6fAmOOwVKc2/BDtkxJFEREREREpOj69B//GfOzoE7BU4w0h7dwL8fNmkb7/l9i8Wfj5c6BmNwwejl12HXbSaViPws6LuL9RoigiIiIiIsWnshy2boGx45rc1Dp1InXNjaRv/Qp+0Xzs1HOxyVOwISPbIND9kxJFEREREREpOnunxRh7fE7b2+DhpL73a+jRE+vcpcDR7f+UKIqIiIiISNHxC1+B4aOb1WTU+vQrYEQdi0Y9FRERERGRouK3bILKpdhR9Y92KoWnRFFERERERIqKXzQfvFeimCAliiIiIiIiUlxqp8UYqsFokqJEUUREREREioZPp8PIpWOPb3JaDCkcnXkRERERESkeyytg62ZQs9NEKVEUEREREZGiEabFMGxMbtNiSGEoURQRERERkaLhF86DYaOxnrlPiyH5p0RRRERERESKgt+6Gd5+CztqXNKhdHhKFEVEREREpChoWozioURRRERERESKw8JXoEdPGDYq6Ug6PCWKIiIiIiKSuDAtxivYmHFYqlPS4XR4ShRFRERERCR5K5bBlk1wtPonFgMliiIiIiIikjj/+jwATYtRJJQoioiIiIhI4vzCeTB0FNbroKRDEZQoioiIiIhIwvz7O8K0GGNVm1gslCiKiIiIiEiyKpdCOo2NGpN0JBJToigiIiIiIonyFUvCkxGHJxuI7KVEUUREREREEuUrlsDAQ7HuPZIORWJKFEVEREREJDE+nYZlb2Kjjkw6FMmgRFFERERERJLz7krYtkXNTouMEkUREREREUmMr1gMgI1UjWIxUaIoIiIiIiLJqVgC3XvCIWVJRyIZlCiKiIiIiEhifMUSGHE4llJqUkz0bYiIiIiISCL8tq2wagU28oikQ5EsShRFRERERCQZy94EUKJYhJQoioiIiIhIInzFYkilYNjopEORLEoURUREREQkEX7ZmzB4ONbtgKRDkSxKFEVEREREpM35PXtg2VtqdlqklCiKiIiIiEjbq14OO3eAEsWipERRRERERETanK9YAmggm2KlRFFERERERNpexWLo3Rf6HZx0JFIPJYoiIiIiItLm/LI3YeQRmFnSoUg9lCiKiIiIiEib8ps2wJrVanZaxJQoioiIiIhI21L/xKKnRFFERERERNqUr1gCJSUwZGTSoUgDlCiKiIiIiEib8suWwNBRWOfOSYciDVCiKCIiIiIibcbv3g2V5djII5MORRqhRFFERERERNrOOxVQs1v9E4ucEkUREREREWkzPh7IBiWKRU2JooiIiIiItBlfsQRKD8F690k6FGmEEkUREREREWkT3ntYtkTNTtsBJYoiIiIiItI21q+BjetBA9kUvZLGVkZRVAJ8HPgocCxwELAReBV4AnjYOVdT6CBFRERERKSUBtUQAAAgAElEQVT98+WLAVSj2A40WKMYRdH1wDLgeqACuBW4If63ArgWWBZF0Q1tEKeIiIiIiLR3FUugazcYNDTpSKQJjdUoHgac6JxbXc+6h4DvRVE0EPhKQSITEREREZH9il/2Jgw/DOvUKelQpAkNJorOuSYTQOfcKuCreY1IRERERET2O37n+7BiGfbhS5IORXLQYKIYRdGIXHbgnFuWv3BERERERGS/VLkU0mlMA9m0C401PS0HPGDxv7WyX6veWEREREREGlU7kA0jDk82EMlJY01P9w50E0XRZ4ApwM3AcmAo8B3gmQLHJyIiIiIi+wFfsQQGHop175F0KJKDRqfHyHALMNo5tyN+vTQeFfUt4N7WBBBF0aWEBPRIwuA5L2esOwb4FdALSAMTnHPvR1E0Pj7uAcDjwE3OOY+IiIiIiBQd7z0sexM7fmLSoUiOGpweo57thmUtG0p+mp0uBC4CpmcujOdw/ANwg3NuLHAGsDte/QvgOmB0/DgvD3GIiIiIiEghvFsN27aA5k9sN3KtUbwDmBZF0W+BFcChwDXx8lZxzi0GiKIoe9W5wGvOuVfj7dbF2w0EejnnZsevfwdcADzR2lhERERERCT//MJXADAliu1GTomic+5/oih6HbgUOB5YBfyTc+4fBYztMMBHUfQk0B94wDl3GzAIqMrYripeJiIiIiIiRca/vwP/xF9g1BgYMDjpcCRHudYoEieFLUoMoyiaCgyoZ9W3nHOPNBLbZGACsB14JoqiecDmerZtsH9iFEXXEZqp4pyjtLS0OaHLfqqkpERlQYqayqgUO5VRKXYqo8Vj64P3sG3zRvp84wd06d8/6XCKRrGX0ZwSxSiKuhJGOb0c6Oec6x1F0bnAYc65nzX1fufclBbEVgU875xbG8fwODCO0G8x86eIwcDKRo59F3BX/NKvXbu2BaHI/qa0tBSVBSlmKqNS7FRGpdipjBYHv3kD6Yf+AONOZnPpQNB3sldSZbSsrCyn7XIdzOYO4CjgCj6ovVsEfK7ZkeXuSeCYKIoOjAe2OR14wzm3CtgSRdHEKIoMuBpoqFZSREREREQS4v/+ANTsJnXhVUmHIs2Ua6J4IfCpeACZNIBzrpo89A2MoujCKIqqgEnAY3GfRJxzG4DbgZeABcArzrnH4rd9DvgNUA5UoIFsRERERESKil9dhZ/+JHbah7ABGlKkvcm1j+Ku7G2jKOoPrGttAM65h4CHGlj3B0JT0+zlLxNqOEVEREREpAilH/o9dO6KfeyypEORFsi1RvHPwH1RFA2HvVNU/Ax4oFCBiYiIiIhI++TLF8Mrs7HzLsR6HZR0ONICuSaK3wQqgdeBg4ClhAFkvluYsEREREREpD3y3pP+673Quw92zgVJhyMtlOs8iruALwNfjpucrnXONTglhYiIiIiIdFALXoTyxdhVn8e6dks6GmmhnOdRjKKoN3A40CN+DYBzblpBIhMRERERkXbF19SQ/ut9MGAwdso5SYcjrZDrPIrXAHcCW4HtGas8MCL/YYmIiIiISHvjZzwN71aT+sK3sE6dkg5HWiHXGsVbgUucc5qGQkRERERE9uHf34H/+59g9Bg49sSkw5FWynUwmxLgqUIGIiIiIiIi7Zd/6mHYvJHUxddgZkmHI62Ua6L4A+DbURTlur2IiIiIiHQQftMG/FMPwfiTsZFHJB2O5EGDTU+jKFpB6IMIYMAA4GtRFK3L3M45N6Rw4YmIiIiISLHzjz4ANbtJXXh10qFInjTWR/HKNotCRERERETaJe89/qUZ2IRTsUPKkg5H8qTBRNE593zt8yiKLnXO/Tl7myiKLilUYCIiIiIi0g5sWg/btsDww5KORPIo1z6Hdzew/K58BSIiIiIiIu1Q1XIAbNCwZOOQvGp0eowoimrnSExFUTSc0Fex1gjg/UIFJiIiIiL5473XSJRSEL66MjwZPDTROCS/mppHsZwwoI0BFVnrVgM3FyAmEREREckjv24N6f/+KnbBlaQmn5N0OLK/qVoOB/XDuvdMOhLJo0YTRedcCiCKouedc6e3TUgiIiIiki8+nSb92x/Bpg34qf+HP2WKahYlr3x1pWoT90NN1SgCUJskRlE0BBgEVDnnVhQyMBERERFpPT/tUXjzdTj86PDv8nIYNjrpsGQ/4WtqYNUKbMzxSYcieZbTYDZRFA2Iouh5QlPUvwEVURRNj6JI49+KiIiIFCm/agX+b7+DY08k9flvQpcu+JlTkw5LmsFv3YxPp5MOo2HvrYSaGtUo7odyHfX0l8CrQB/n3ECgDzA/Xi4iIiIiRcbX1JC++w7o2o3U1V/ADuyOjTsF/+J0/K6dSYcnOfDvrSL9b9eQvvlG0jOexu/enXRI+/DVGvF0f5VrojgZ+IpzbhtA/O/XgJMLFZiIiIiItJx/3MHyclJXfh7r1QcAmzwFdmzDvzIr4egkF/7lGaG2LpXC3/dT0t+4lvQTf8Vv35p0aB+oqoRUCgYMTjoSybNcE8UNwJisZYcDG/MbjoiIiIi0ln/7LfxjDpt4JjY+43f9w46C/gPwM9T8tD3w82bB8MNI/cdPSH35P6HsUPzf7iP97/9M+s/34NevTTrEUKM4YDDWuXPSoUie5TSYDXAbMDWKoruB5cBQ4DPA/ytUYCIiIiLSfH7nTtL33AEH9cUuv7bOOjPDTpmCf/gP+PdWYQcPTChKaYpfsxreqcAu+UwYpXbs8XQaezz+nQr8kw+FEWyf+Ts24TTsY5/EDklo6JCqSmzE4ckcWwoqpxpF59yvgU8CpcD58b+XO+fuKmBsIiIiItJM/m/3wepqUtfchB3YY5/1NukssBR+5jMJRCe58q/MBsDGTaqz3IaMJHXtV0nd+ivsjI/g588mfeetSYSI37Ed1r0HgzSQzf4o1xpFnHPTgGkFjEVEREREWsG/sQA/7VHs7POxI4+tdxvrWwpjj8fPegb/icuxVKc2jlJy4efNhKGjsP4D6l1vpYdgl11Luk8p/i+/xW/agPXu07ZB1g5kM3h42x5X2kROiWIURZ2BbwNXAWXASuD3wK3OuV2FC09EREREcuG3byV9709Cf7GLrm5029Tkc0j/8vuwaAEcPb6NIpRc+XVr4O23sAuvanJbGz0GD7B0EZwwueCxZaod8VRTY+yfch3M5jZgCnADcGz871nADwoUl4iIiIg0g//TXbBpPal/+hesS9fGNz52AvToRXrm020TnDSLnx9GpbVxOUwwMGQkdOmKX/pGgaOqR3UlHHAg9O3f9seWgsu16emlwLHOuXXx6zejKHqFMLfivxQkMhERERHJiV/wIn7Oc9j5l2PDRze5vZV0xiaeiX/2MfyWTVjP3m0QpeTKz5sNg4dhAwY1ua2VlMCIw/FLF7VBZHX5qkoYNDQMtiP7nVxrFBv69lUqRERERBKWnvYolB6CfeTSnN9jk6fAnhr8nOcKF5g0m9+4DioW153WpAk2egxUVeK3bytgZHV576F6OaaBbPZbudYo/hn4exRF/wm8Q5ge49uAK1RgIiIiItI0v34tLHktTJFQkvM4heEGf/hh+BlP46d8XLVCRcLPnwPeY+NPyfk9NnpsSNwqlrRdn9MN62D7Nhg0rG2OJ20u1xrFrwFTgTuBecDPgGeBfy9QXCIiIiKSAz/3+ZBYTDyj2e+1yVNg5TtQuTT/gUmL+HmzYOCh2MBDc3/TiMOhU6e2bX5aXQmgGsX9WE4/O8Ujm34nfoiIiIhIEfDe42c/CyOPwA5u/oTrdsKp+Ad/g58xFRt+WAEilObwmzfCW4uwj+behBjAunaDISPbdEAbX6URT/d3ObdPiKJoGHAMUGfmVufcH/Mck4iIiIjkYsUyWPkOdsUNLXq7HdgdG38K/qXp+Oifsa5NjJYqBeUXzAGfblb/xFo2egx+2qP43buwzl0KEF2W6kroW4od2KPJTaV9yqnpaRRF3wAWE2oUP5fxaNlfJRERERFpNT/7OehUgrVi/jw75RzYsT1M8C6J8vNmwcFlLer3Z6PHQE0NvN02zYjDiKfD2uRYkoxcaxS/Aox3ziUwQYuIiIiIZPN79oT+iUefgPXo1fIdHTYWDh6InzkVTj4rfwFKs/itm8OgRB+6sGUDC40aE/ZT/gZ22Ng8R1eXr6mB1dXYMScU9DiSrFwHs1kHVBYwDhERERFpjsULYPNGUpPOaNVuzAw7+Wx4ayH+vZX5iU2azS94EdLpZo12msl69IKBh7ZNP8V3q2FPjWoU93O51ih+GbgriqIfAe9lrnDOvZP3qERERESkUX72c3BgDzh6Qqv3ZSefjX/kj2FQm4uubn1w0mz+ldnQ72AYMrLF+7DRY0N/0/QeLNUpj9HV5asqw/E04ul+LdcaxS7AucBcQs1i7ePtQgQlIiIiIg3z72/HL5iNnTAZ69y51fuzPv3gqHH4F5/PQ3TSXH77VnhjATb+lNbNZzl6DOzYDrUjkhZKdSV0KoEBgwp7HElUroniz4FvAr2AzhmPNhhSSUREREQy+Vdmw65dWCubnWayw4+C9Wvw27bkbZ+SG//qS7CnBhs3qVX7sdGhb2Khm5/6quUwYBBW0vofKaR45dr0tAT4rXNuTyGDEREREZGm+TnPQf8BMPLIvO3TyobiAarfCQPcSJvx82ZCn1Jo5VyW1q8/9C2FpYvg7I/lKbp6VC/H4sFzZP+Va43iD4GvR1HUirpwEREREWktv35tGB1z4hmta6aYrWxI2P/KAjdblDr8+9th0Xxs3CQsleutecNs1Fh8+Rt47/MQ3b789q2wfg0MVv/E/V2uNYpfAgYA34yiaF3mCufckLxHJSIiIiL18nOfB++xiWfkd8d9S6HbAbBS4xS2Jf/ay1Czu8Wjne5j9BiY+zysWRXmZMy36lA+bPCw/O9bikquieKVBY1CRERERJrkvcfPfhZGHoHlOQkwMygbgq9WotiW/LxZ0LsvjDwiL/uz0WPxhH6K+S4jAL66MjzRiKf7vZwSReechsASERERSdqKZbDyHeyKGwqyexs0FD9/Nt77/DZrlXr5ne/Dwpexk6fkpdkpAAMHQ/eeoZ/iKVPys89MVZVwQPfQp1L2a40milEUnQdsds7Nil+PBH4HHAXMBj7jnFtV8ChFREREJMyd2KkEO2FyYQ5Qdii88BRs2Qi9+hTmGPKBhfPC6LXjT87bLi2VglFHFmzkU1+9HAYP1Q8JHUBTP13cAmT2hL0b2AR8CthGGORGRERERArM79kT+icefQLWo1dBjmFlcXNCNT9tE/7Vl6BHTxid31FmbfRYeG8VftOGvO7Xex9GPB00LK/7leLUVKI4EngJIIqig4HJwLXOuceA64EzCxueiIiIiACweAFs3kgqj3Mn7mPvyKftO1H0yyvY817xN3rz5W/AqDFYp0553a+NjqeuWLoor/tl/RrYsV39EzuI5jSGngS87Zyrjl+vA3rkPyQRERERyeZnPwcH9oCjJxTuIL37hP5t7ThR9Lt3kb7922y+87+TDqVRfvMGWLMaG5W/uTD3GjISunTNf/PTqjB1imlqjA6hqUTxJeBLURT1Aj4LPJGxbgSwtlCBiYiIiEjg39+OXzAbmzAZ69y5YMcJI58eGvqhtVN+wYuwfRu7Fr6S96aXeVW+BAAbmf9E0UpKYMTh+DzXKO4d8bRMiWJH0FSi+C/AF4ANwGHA9zPWXQVML1BcIiIiIhLzr8wOg55MLHyvHxs0FFauKNiE7YXmZz0DB3aHdBr/8sykw2mQr1gMJZ1h6KiC7N9Gj4GqSvz2bfnbafVy6HcwdmD3/O1Tilajo546594ARkZR1M85ty5r9Y+AXQWLTERERKQD8zt3wrvV+Her8c/8HfoPyNtce40qGwo7tsGGddC3fU2B4Deug0ULsI9cQqdFr1Dz0nQ4+2NJh1UvX74Yho0qWA2xjR4bkv2KJXD0+Lzs01dVqn9iB9JgohhFURfn3C6AepJEnHMb4+26Oud2Fi5EERERkf2Xf38HLHsTv7oKVofEkNVVsD6jh48ZdtUX2mRKAisbEoa8X/lO+0sU5zwHPo2dfBbd+vRl6x9+iV/3Htbv4KRDq8Pv2gnLK7Ap5xfuICMOh06d8EsXYXlIFH3Nbni3GjvupDwEJ+1BYzWKr0VRdA/wB+fcyuyVURQNJDQ/vQYYU5jwRERERPY/fuM6/Ksv4V+dC4tfhZrdYUW3A+CQQWF6gwGDsAGDYcAgOLgM69K1bYLbO/LpcuyocW1zzDzw3uNnTYNRR2IHl9G1b7+QKL48A/vQRUmHV9fyCthTU5iBbGLWtRsMGZm/AW1WV8GePapR7EAaSxQnA18HXo2iaAPwJrAF6Enor3gQcC9wWoFjFBEREWnXwvxzlfgFc0NyWLk0rCg9BDvjw9hR48MNeO8+iU9kbj17Qa+D2t9cipVLYdUK7OovAlAyYBAMPww/dzoUWaLoyxeHJwUYyCaTjR6Dn/YofvcurHOXVu3LV1WGfWoOxQ6jwUTRObcW+GoURd8ETgKOJiSHGwiD2sx1zu1ukyhFRERE2qn0s4/jn/wbrHsvLBh+GHbhVdixJ0HZoYknhvUaNLTdzaXoZz0DXbpg40/Zu8xOPBX/4N341VWhdrZI+IrFoea4Z++CHsdGj8E/9TBUlsPoVjYArFoOJSVwSFl+gpOi1+hgNgBxP8UX4oeIiIiI5Mhv3oB/8NcwZCT20Qg7ZgLWu0/SYTXJyobgX3gKn05jqeZMu50Mv3sXfu4L2PGT6ozIaeMn4909+JdmYOdflmCEHwgDzCzGjj2x8AcbFZJDv3RRGAW1FXz1chhwaJh6QzqE4r/yRURERNopP/tZ2LOH1Ge+TOrUc9tFkgiEfoq7dn5QC1rsXp0L27diJ59VZ7H16Qejx+LnTi+e6T5WV8PWLQVvdgpgPXrBwEPz00+xqhIbrP6JHYkSRREREZEC8N7jZ0yFkUdgA4un2WMuLB7QhnbS/DQ9axr0KYUjjtlnnU04NQzEUjtZfMJ8ReifWMiBbDLZ6LFQsRif3tPiffhtW2HjOg1k08EkXnccRdGlwM3AkcCJzrmX4+VXAP+WsekxwDjn3IIoisYTBtI5AHgcuMk5VyQ/E4mIiIgQ5q9bXbV3cJV2Ze/Ip++0TRPJVvAb18PCV7APX4ylOu2z3safgv/Tr/Bzp2ODhycQYZbyxdC9JxwyqG2ON3oMTP8H/u8PwunnYQf1bdbb/YZ1+Kn/B4ANHlaAAKVYJZ4oAguBi4BfZS50zt0P3A8QRdHRwCPOuQXx6l8A1wFzCIniecATbRWwiIiISFP8zKnQtRs2YXLSoTSbHdg91NBVL086lCb5F58PcydOOqve9dazF4w5Dj/3BfyFVyc+eJCvWBxqmduo76cdeyL+iGPwjz6Af9zB0SeQOvlsOOYErKRz/THu3g2vzSU9Yyosmg8+DWOPh9FHtUnMUhwaTBSjKPpuLjtwzn2nNQE45xbHx2tss8uBP8XbDQR6Oedmx69/B1yAEkUREREpEv79HWEAlRNOwbodmHQ4LTNoSNGPfBrmTnwmJF4DGq6hswmn4n/7Y3j7rTARfUL8ls2wuho7+ew2O6YdcCCdvvJf+NXV+FlT8bOeJf3qXOjZG5t4BnbKFCxuUupXvI2fORX/4nOhH2WfUuwjl2Ann40dPLDNYpbi0FiN4qEZz7sBFwMvAcuBIcCJwF8LF1odnwQ+ET8fBFRlrKuKl4mIiIgUBT9vJuzcgU0+J+lQWszKhuKXvI5P76m3SWdRWF4OK9/Brvp8o5vZcRPxJXfiX3oBSzBRpLZ/YhsMZJPNBgzCLvo0/hNXwhvzSc+Yip/2GP7pR2DYaEin4Z0KKCkJo8eefDaMObZ4v3spuMbmUfxM7fMoih4ALnfO/TVj2UXApbkcJIqiqcCAelZ9yzn3SBPvPQnY7pxbGC+qr71Ag/0Toyi6jtBMFeccpaWluYQs+7mSkhKVBSlqKqNS7FRGG7d+znOkBw2h30mnJt7UsaV2HD6GzU89RJ/dOykZNCTpcOq1+W/3saNLF0o/9AlS3XvWWVe3jJaycfzJ7J43i343/BvWKZnkZ8vK5WwvKaF0/ESsa9dEYgDgkPPgzPNIb9rAjulP8f5zT0Cnzhxw7b/S7dRzSfXslVxsHUix/x3NtY/ih4ErspY9Avw2lzc756Y0J6gslxE3O41VAZlDhw0GVjZy7LuAu+KXfu3ata0IRfYXpaWlqCxIMVMZlWKnMtowv6qK9JLXsIs/zbp165IOp8V8rzDoyYZFC7Cuxdd81u/eTfr5J7HjJrJ+x07YsbPO+uwymj52Iv7F6aydMx07/Oi2DheAPa+/AoeOYN2WLbBlSyIx7GPS2eEBbAe279wFO3Vtt4Wk/o6WlZXltF2uvWjLgS9kLfs8UNGMmJotiqIUodbygdplzrlVwJYoiiZGUWTA1YSkVURERCRxfuZUSKUaHFyl3RgYeiEVbT/F114KcyfmeJ7tmBOgazf83BcKHFj9/O7dULm0zabFEGmtXGsUPws8FEXR14BqQp/AGsJopa0SRdGFwE+B/sBjURQtcM59KF59GlDlnFuW9bbP8cH0GE+ggWxERESkCPiaGvzsaXD0CVjvPkmH0yrWtRv0HwDVxZkopmc9Awf1hTHH5rS9de0WRgB9ZSb+8uuwkjYe/P+dCqjZrURR2o1cr5BXgdHARKAMWAXMds7tbm0AzrmHgIcaWPdcfMzs5S8DGp9XREREisvCebB5I6l2PIhNHWXFOfKp37QBFs7DPnRhswZbsQmn4udOhyWvwlHjCxjhvnx5GMiGBAayEWmJJhPFKIo6AVuBg5xzydTVi4iIiLQD6RlPQ+8+cPQJSYeSF1Y2BL9wHr5md4Nz7iXBv/gcpNPYpGZOMzF2HBzYHT/3BaytE8WKxdB/QLuvaZaOo8k+is65PcBbQL/ChyMiIiLSPvlNG+D1l7GJZyY2qmbelQ2BPXvg3VVJR7JXmDtxGow4HBs4uOk3ZLDOnbHjJ+EXzMHv3lWgCPflvYfyxYlMiyHSUrk2Pb0feDSKoh8TRh3dOx2Fc25aIQITERERaU/87GmhlmtyawZ7Ly42aCge8CuXY8UyRcb82VC9HLvicy16u514ahhw6PV5MG5SnoNrwJpVsGUTqH+itCO5Joq1V+LNWcs9MCJv0YiIiIi0Q957/IypMOpIbEDzarmK2oBBYCkogn6KPr0H/8if8I87GDwcO+n0lu3o8GOgZ2/8Sy9gbZQo1vZP1EA20p7klCg654YXOhARERGRdqtiMbxbjX344qQjySvr3AUOGYivXp5oHH7TBtK//iG8+To2+Rzs8uuwLi2bsN46dcJOOAU/cyr+/R1YtwPyHG09yhfDgd33Tjki0h7kOo+iiIiIiDTAz3gauh6AjT8l6VDyr2xoolNk+LcWkr7ly/D2m9g1N5H69I0tThJr2Ymnwa5d+AVz8hRl43z5YhhxBJbSrbe0HznVKEZR1IvQ7PR0oBSw2nXOuSJpsC4iIiLS9vz72/Evz8QmnNo2tVNtzMqG4OfPwe/a2eoErTl8Oo1/6iH8Q7+H0gGkvvyf2OBh+dn5iCOg38H4F6fDxDPzs88G+G1bYdWKkJyKtCO5/qzxc2Ac8F2gL3Aj8A5wR4HiEhEREWkX/EszYOf72P4yd2IWGzQEfBpWV7XZMf22raR//j38X+/Djp9E6tu35y9JBCyVConbG/Pxmzfmbb/1WrYkHFP9E6WdyTVRPBe42Dn3CLAn/veTwFUFi0xERESkHfAzp8KAwTDi8KRDKYyy0HjMt9GANv6ditDUdOEr2GXXYtd/DTvgwLwfx046HdJp/LyZed93Jl++GFIpGH5YQY8jkm+5JoopYFP8fGsURQcBq4BRBYlKREREpB3wq1ZAxZIwwIpZ029ojw4ug04lbdJP0af3kP7lD2DPHlL/9j1SZ59fsPNqg4bC4GH4F58vyP5r+fLFcOgIrGu3gh5HJN9yTRRfJfRPBHgBuBP4BfBWIYISERERaQ/8ow66dMUmFbafW5KspAQGDGqbGsWFr8Ca1Vj0z9jIIwp+ODvxdKhYgl+zuiD79zU1UPmWmp1Ku5RrongtUBk//xKwAzgIuLoAMYmIiIgUPV/1Nv6l6djZ52O9Dko6nIKysiHQBlNkpJ99DHr3xY6fWPBjAXsHmPFzpxfmACvehl27YKQSRWl/cp1HcVnG8zXAZwsWkYiIiEg7kH74fuh2IPahi5IOpfDKhsBLLxR03kH/7srQL/Hjnwq1mG3A+vWH0WPwLz6P/8ileW/m6iveCMdRjaK0Q7lOjzEfeA54HpjunFtfyKBEREREipmvWAKvzsUuuBLr3iPpcArOBg3FA6xaUbBBWfxzj0OnEuy0DxVk/w2xk87A/+HnofZvyIi87tuXL4Z+B2N9+uV1vyJtIdemp18FNgNfBqqiKHotiqKfRlF0SeFCk//f3n2HS1ne+R9/33POAUFERVAE7BUrRZq9RY1lTdHbxGyqib/NJjHJZjd197clv91NtqbsbnZNYkzZqHdMM1GDsQKKgAiigih2UIKgoiJSzty/P2YwQCgDzMwz55z367rmOmeeNp/j9fic8+VukiSpNZV/8SPYZVfCGRcUHaU5GjzzaX5jJfnuWwmjTyDsuntDPmNzwujjoa297pPa5JxhwSMEu52qi6q16+ltwG0AMcY9gD8DPg78KdDWsHSSJEktJs97AB6ZU1m6oUHdMFvOoL2go1fDxinme++Ela8TTj+vIdffktCvPxw1ijx9Evmd7yOU6vSn7VOPwfIX4fCj63M9qclq7Xp6DpVZT08B9gGmAl+g0hVVkiSpR8g5U/75D2HAQMLJ5xQdp2lCqQ323qchLYo5Z/IdN8K+BxW2FmUYdwr5genw2Fw4rD6FXZ58S2VG3ONOrMv1pGardaTwTcDjwD8CP0gprW1cJEmSpEM/QdsAACAASURBVBY1exo8+Sjh/Z8gdHQUnaapwpB9yY/Mqf+FH30InnuG8IErCluLMhwzlty7D3naXYQ6FIp55evk6ZMIY04i9Olbh4RS89U6RvFk4CrgYuCZGOMtMcYvxRhPalw0SZKk1pHLnZWxiXsNJUw4veg4zTd0X3h5Gfn11+p62fLtN0K/XQhjivuzMvTuTRg5njzzbvKaNTt8vTx9Eqx6o+kT80j1VFOhmFKaklL6x5TSW4ERwAzgs1RmQpUkSer28vRJlZavC99DaOt5UzSE6oQ21LH7aX7xBZh9L+HEswi9etftutsjjDsZXl8BD83c4WvlybfA0P0aNkOs1Ay1jlF8O3AqlTGKhwIzgf/AMYqSJKkHyGvXkG+4BvY5oDJLZk807AAA8hPzCQcfUZdL5rsmQoZwSguM9xw+AnbZlfK0O2kbOX67L5OffhyeXkB49+WFdaWV6qHWMYqfpFIU/hkwNaW0snGRJEmSWkueciu8sJjSFf+XUKp15E73EgYMhGEHkGdNg7PevsPXy2vWkCdPhGPHEAbuVYeEOya0tRHGnESeNJG88vXtHluYJ0+Ejl6EcafWN6DUZLUuj3Fqg3NIkiS1pLx6FfnX18HBw+Go0UXHKVQYNYH8q2vIy1/a4fUO831T4NXllE5r/pIYmxPGnky+/dfk+6cSTjhjm8/Pb6ysTIhz3AmEnfs1IKHUPDX9k1iMsXeM8e9jjE/EGJdXt50VY/x4Y+NJkiQVK99xEyx/kdLb39vjuxKGkeMhZ/LsaTt8rXzHjTB4KAw/tg7J6uTAw2DQYPL07Rtdle+bAm+sdBIbdQu19p34GnAU8B4gV7c9DHy0EaEkSZJaQV75Ovnm6+GoUYRDjyo6TvGG7gd77k2+f+oOXSY/+WhlmZHTzmup4juEQBh7MsybQ17+0jafnydNhL33gYOGNyCd1Fy1FopvAy5NKU0FygAppUXA0EYFkyRJKlJe8jz52m/Dilcpve2Pi47TEkIIhJETYP6cHVomI99xI/Tu05LLjIRxp0Auk2dM3qbz8sInK8XvyWe1VPErba9aJ7NZvfGxMcZBwLK6J5IkSSpALpfhyUfJD0wjz54Ozz8LQDj5HMJ+BxecrnWEURPIE39GnjODMP60bT4/v7qcPGMy4aSzW3Ix+rD3PrDvgeRpd8GZf1TzeXnSLdDevl3/TaRWVGuh+BPg+zHGTwPEGPem0h312kYFkyRJarS8ahXMm01+YDr5genw6nIoleDQowinnEM4Zgxh0OCiY7aW/Q+B3QZUup9uT6E4+RZYu5bQQpPYbCyMO4X8k++Rf/ccYa8hWz0+r1pFvvdOwqgTCP36NyGh1Hi1FopfBP4JeBDoCzwGfBv4uwblkiRJapi8Zg35lp9Xxh+uegP69CUcNRqOHUs4arQzVm5BKJUII8eT776VvGoVoXfvms/NnZ3ku26G4ccS9h7WwJQ7Jow5mXz91ZW1My/7FKHUtsXj88y7YeUKJ7FRt1Lr8hirgU8Bn6p2OV2aUspbOU2SJKnl5HkPUP7xf8PiRTByPKVTz4VDjyS0dxQdrcsIIydUZoN9+H4YNaHm8/LMu+HFpZTefXkD0+24sPsehPMvIf/qWvLaNZQ+/BlCx+bvjzx5Iuw1FA49sokppcaqtUXxTSmlFwBijMcAf5VSurjuqSRJkuosL3+JnK6qLH0waDClK/4v4ejjio7VNR16FOy8C3nWVEKNhWIul8k3/aQyK+gxYxsccMeV/uhSyn13Jl/3XcrfeI3Sx75I2OkPx1Tm556BBfMIF33QSWzUrWyxUIwx9gW+AIyg0t30b4CBwL8CbwG+3+B8kiRJOySXO8l33kz+xY9gzWrC+ZcQ3noRoVftXSa1odDWRjh2LHnWveS1a2prjX1gOix6mvDhzxBKtU68X6zSmRdS7teffPU3KP/LX1b+caH/bhsckyffAm3thONbbwZXaUds7f/S/wQuAOYCZwI/Be6isobi/imljzU2niRJ0vbLTz5G+e//nHzNlbD/IZT++puULnyPRWIdhFETYOUKeOTBrR6bc6Z8Y4I99yYcd2IT0tVPafxplD72JXj+Gcpf/Tx56e/e3JfXrCZPvYMwcjxhl10LTCnV39YKxbOBs1JKnwPOBc6gsp7iX6aUljY8nSRJ0nYq33Ej5X/8c1j+EuHyv6D06b8jDHYJ6Lo5YgT03ok8696tH/vw/fD0gkpLbtuWJ4ZpReHo4yh9+svw2nLKX/0cedHTAJWZX1e86iQ26pa2Vij2SyktAUgpLQReSylt2+qjkiRJBci33gAHHkbpy/9FacxJjh+rs9DRi3D0ceTZ95LLnZs9LudM+dfXwYBBhPGnNi9gnYWDh1P67FcAKP/T58kL5pEnTYRBg+GwowtOJ9Xf1iazaY8xnga8+WTd+H1K6fYGZZMkSdou+YXFsOR5wukXtOSi7t3GyPFw3xR4fD4ccsSmj5n/IDz+COHSP+nyM8uGoftR+txXKf/7X1P+t7+qjHl9x/u6zJhLaVtsrVBcAly13vtlG73PwIH1DiVJkrQj8tzZAIQjRxScpHsLRx9Hbm8n3z+VsJlCsXxjgl13J5x4ZpPTNUYYuBelz32F8tf/Fp57hnD8GUVHkhpii4ViSmn/JuWQJEmqmzx3FgwYVFnbTg0T+vSF4SPIs6aS44f+oHtvXjAPHplDuPhDhI5eBaWsv9B/N0qf/2pl/OuuuxcdR2oI28klSVK3kjs7Yd4cwpEjHZfYBGHUBFi2BJ594g/2lW/6CfTrTzjlnAKSNVbo6EUYuFfRMaSGsVCUJEndy1OPVZZtGG6302YIx46FUKrMALqe/PTj8OB9hLdcSOi9U0HpJG0vC0VJktSt5LmzIQTC8GOKjtIjhF12hUOP/INCsXxTgr47E047r6BkknaEhaIkSepW8txZsN/BhH79i47SY4SRE+D5Z8mLFwKQFz0D90911lmpC6u5UIwx7hFjfG+M8bPV90NijMMaF02SJGnb5NdXwBPzCUeMLDpKjxJGjgMgz7q38vWmBL37EM44v8hYknZATYVijPEUYD7wHuCvqpsPAb7VoFySJEnbbv6DUC67LEaThQGDYP9DyPdPJS9eRJ4xhXDqW23VlbqwWlsUvwZcklI6B1hb3TYNGNuQVJIkSdshz50FvfvAgYcVHaXHCaMmwFOPUb7mSmhvJ5x1YdGRJO2AWgvF/VNKt1W/z9Wvq9nKOoySJEnNlOfOhsOOIrR3FB2lxwkjJ1S+mTuLcPLZhP6uLyh1ZbUWinNjjGdvtO1M4ME655EkSdou+YXFsOR5xycWJAweCnvvU21NfHvRcSTtoFpbBD8D/DrGeCPQJ8b4P8AFgH0KJElSS8hzZwM4PrFApXdfTn7lZcKAgUVHkbSDampRTCndCxwLPAxcBTwJjE0pzWhgNkmSpJrlubNgwCDYa2jRUXqsMPxYSuNOKTqGpDqoeYxhSmkR8E8NzCJJkrRdcmcnzJtDOO4EQghFx5GkLm+zhWKM8Yf8fuKazUopva+uiSRJkrbVU4/ByhUw3G6nklQPW+p6ugB4vPpaDrwNaAMWVs+7EHi50QElSZK2Js+dDSEQhh9TdBRJ6hY226KYUvrbdd/HGCcC56WUJq+37UTgrxobT5Ikaevy3Fmw38Eu8C5JdVLr8hjjgXs32jYNmFDfOJIkSdsmv74CnpjvshiSVEe1FoqzgH+IMfYBqH79e2B2o4JJkiTVZP6DUC67LIYk1VGts55+APgxsDzG+BKwO3AfcOmOBogxXgz8DTCcypIb91W3dwDfAUZVc/4gpfSP1X3nAF+nMmbyOymlr+xoDkmS1DXlubOgdx848LCio0hSt1FToZhSego4Psa4DzAEeD6l9EydMjwEvAP4n422Xwz0TikdHWPsC8yNMV4DPAv8J/AWKhPrzIgx3pBSmlunPJIkqQvJD8+Cw44itHcUHUWSuo1au54SY9wdOA04HTi1+n6HpZTmpZTmb2JXBnaOMbYDfYDVwCvAWGBBSumJlNJq4FoqM7BKkqQeJr+wGF5Y7PhESaqzmgrFGOMEKstk/AlwDPB/gMer2xvlemAF8DzwDPAvKaUXgaFUWhXXWVjdJkmSepg8tzJdguMTJam+ah2j+DXgT1NK167bEGO8BPgGMGZrJ8cYbwUGb2LXl1JKv9zMaWOBTipdXXcHJlevEzZxbN7CZ18OXA6QUmLgwIFbi6seoL293XtBLc17VK2uVe7RlxfMZc2gvRh45LGEsKk/EdRTtco9Km1Oq9+jtRaKhwJpo23XA/9dy8kppTO3JVTVpcBvUkprgCUxxruB46i0Ju6z3nHDgOe28NlXAldW3+alS5duRxR1NwMHDsR7Qa3Me1StrhXu0dzZSfmBGYTjTmDZsmWFZlHraYV7VNqSou7RIUOG1HRcrYXiY8C7qMx8us7FVLqjNsozwOkxxh8Bfams5fg1YC5wSIzxAGBRNdcOz74qSZK6mKceg5UrYLjdTiWp3motFD8F/DrGeAXwNLA/cAhw/o4GiDG+HfgmMAi4McY4O6V0NpWZTb9HZVbUAHwvpTSnes7HgYlUlse4KqX08I7mkCRJXUt+eBaEQBh+TNFRJKnbCTlvdnjfBqqznJ5HZczgc8BN1cllupL83HOb7aWqHsTuKGp13qNqda1wj3Z+5bPQ2Unbl/610BxqTa1wj0pbUnDX060O6q61RZGU0kvAjwBijAcCuwBdrVCUJEndQH79NXjyUcI5FxUdRZK6pVqXx7gmxnh89fsPAg8Dc2OMlzUynCRJ0qbkGVOgXCaMGFd0FEnqlmoqFIEzgPuq3/8ZcCaV5Ss+34hQkiRJW5Kn/BaG7gf7H1x0FEnqlmotFHullFbHGIcCA1JKd1cnkNmrgdkkSZL+QF74FDz1GOHEM107UZIapNYxirNjjF8A9gNuBKgWja80KpgkSeq+8qJnYM+9CR0d237u3bdCWzth3GkNSCZJgtpbFC8Djgb6AH9Z3TYB+N9GhJIkSd1XfnEp5S9/kvzTq7f93DVryPfeASPGEnbpX/9wkiSgxhbFlNLjbLSofUrpeuD6RoSSJEndV54xCTo7yZMmks+9iNB/99pPnjMdXnuV0olvaVxASdLmC8UY43tTSj+sfv+hzR2XUrqqEcEkSVL3lKfdBYMGw9Il5Ft+SbjoAzWfW57yW9h9IBwxonEBJUlbbFF8N/DD6vfv3cwxGbBQlCRJNcnPPQPPPkl410fgifnkO28mn/MOQr+tdyPNL74AD88inHsxodTWhLSS1HNttlBMKZ273veOFpckSTssT7sLQokw5kQ4/Bjy9Enk235NuPDSrZ97z+2QM+GEM5uQVJJ6tlpnPSXGuBtwHjAEeA64MaX0cqOCSZKk7iXnXCkUhx9bGZfYf3cYOZ58+6/Ib7mQ0HfnzZ9bLldmOz3saMKgwU1MLUk9U02znsYYTweeAq4AxgCfAJ6KMZ7RuGiSJKne8srXyWtWF/Phjz8Cy5YQxp3y5qbSeZfA6yvId9605XMffQiW/o7gJDaS1BS1tij+B3B5Simt2xBjvBj4T+DwRgSTJEn1k3MmT55ITlcRRk0gfOjTzc8w/S7o6EUYOf7NbWG/g+Do48i//SX5jAsIvXfa9LlTfgt9diaMmtCsuJLUo9W6juIQ4Kcbbfs5YN8PSZJaXH75Rcrf/DL5h/8FIZDvn0petaq5GdauJc+YQjh2LKFP3w32lc6L8Nor5EkTN33u66+R759KGHcyoVfvZsSVpB6v1kLxB8DHNtr20ep2SZLUovJ9Uyj/zSdg/hzCuy6n9NHPw6o34OH7mxtk3mx47ZUNup2uEw46vDKxzcSfb7JbbJ4+CdasttupJDVRrV1PRwEfjTF+FlgEDAX2BKbFGCetOyildHL9I0qSpG2VV7xG/vH/VLp7HnAopQ99ijB4GLmzE/rtQr7/nqZ248zT7oK+/eCoUZvcXzovUv7XvyRPuZVw2rkbnjvlVhi2P+x7UBOSSpKg9kLx29WXJElqcfnhWZSv/jq8upxw4aWEt15MaKusOxja2ggjxpPvm0Jes4bQ0dH4PKveIM+eRhh3CqF9M5932NFw0OHk3/yUfNJb3jwuL3wSnl5AeNdHCCE0PKskqaKmQjGl9P1GB5EkSVuWn3uG/OSjWz7oifmVsX5770Pp439VmSxmI2H08ZXJYebOhmPHNCjt7+XZ02DVG5vsdvpmphAonXcJ5W/8LfneO9/sZpqn3Art7Vs8V5JUf1ssFGOM30gpXbHe+8tSSt9d7/1PU0rvbGRASZJUWUew/I2/g2VLtnxgCISz3kZ42x8TOnpt+pjDj4G+O5Nn3k1oRqE47S4YMBAOPmLLBx41CvY7mHzz9eQJp0O5XCkaR4wn9Ovf8JySpN/bWoviB6isnbjOPwPfXe+9o8olSWqGubMraxD+8Z8SNjPOD4BeOxF22XJRFdo7CMeOIz8wjbx2zea7g9ZBfvUVmDuLcOaFhNKW59CrtCpGyv/1D+T7pkCpDVa8SjjhzIblkyRt2tYKxY0HAzg4QJKkApQn3wL9diEcf0ZdxhWG0SeQp94Ojzy42Qlm6iHPnAKdnbV3HT12LAzdj3xjgt33qLREHnFsw/JJkjZta8tj5K28lyRJDZZfeQkemFa3IhGAI0bATn3I999Tn+ttRp52FwzZtzJraQ1CqUQ492J4/lmYO5tw/JmEUltDM0qS/tDWWhTbY4yn8fuWxI3f++SWJKnB8t23V1rlTjyrbtcMHR2EY8aSZ00lv+ejb86KWk956e9gwTzC29+7TTOWhuNOIP/yx7DkOcLxp9c9lyRp67ZWKC4Brlrv/bKN3m9lRL0kSdoRuVwmT54Ihx5J2HtYXa8dRh9fWWfx0YdgeP27d+bplaWWw9htW2Y5lNoovf8T5GefIAwaXPdckqSt22KhmFLav0k5JEnSpsx/EF5YTPijS+t/7aNGQe+dKrOfNqpQPHg4YeBe23xuOPRIwqFH1j2TJKk2WxujKEmSCpQn3wJ9+xFGH1/3a4devQlHH0eedS+53FnXa+eFT8Kip13/UJK6KAtFSZJaVH51OXnWVMKE0za/JuKOGnU8vPIyLJhX18vmaZOgrY0w+sS6XleS1BwWipIktag89XZYu5Zw0tkN+4xw9Gjo6EWeWb/ZT3O5XBn7eMTIra7pKElqTRaKkiS1oJxzpdvpQYcThu7bsM8JO/WBo0aR77+HXC7X56IL5sKLS+12KkldmIWiJEmt6LGHYfGihrYmrhNGnwAvvwhPzK/L9fK0u6D3ToQR4+pyPUlS81koSpLUgvKkidBnZ8JxjR/jF44ZA+3tdel+mtesJs+YQhg5gdB7pzqkkyQVwUJRkqQWk1e8Sp55D2HcKYTevRv+eaFPXziy2v005x272JwZsHIFYcKpdckmSSqGhaIkSS0mT70D1q4hnNz4bqfrhFET4MUX4KkFO3Sd8tQ7YLcBcPgxdUomSSqChaIkSS3kzUlsDjiUsM8BTfvccOw4aGsjz7x7u6+RX30FHppJGHsKodRWx3SSpGazUJQkqZU8/gg89wzhpLOa+rFh534w/Ngd6n6a75sMnZ12O5WkbsBCUZKkFpInTYTefQhjTmr6Z4dRx8MLi+HZJ7br/Dz1Dhi2P2FY81pCJUmNYaEoSVKLyK+/Rp45hTDu5Mr6hk0WRoyHUok8c+o2n5sXL4InHyWMP60BySRJzWahKElSi8jT7oLVq5s6ic36wi794bCjyTPv3ubup3nanRBKhHEnNyacJKmpLBQlSWoBOedKt9N9DyTsd3BhOcJxJ8LvFsFDM2s+J5fLlW6nw48h7LZHA9NJkprFQlGSpFbw+DxY+FTTJ7HZWDj+dNhrKOVrv01es6a2kxbMg2VL7HYqSd2IhaIkSS2g/KtrYZddCRNOLzRHaO+g9O7LYcnz5Ft+XtM5+d47oFdvwsjxDU4nSWoWC0VJkgqWF8yFubMJZ7+D0HunouMQjhwJoyaQb0rkZS9s8di8ZjX5vrsJoyYUMgGPJKkxLBQlSSpY+YZrKq2Jp7616ChvKsXLIEP+yVVbPnDODFi5gjDBbqeS1J1YKEqSVKD86MMw7wHCOe9sidbEdcIeexLOvagyA+rc2Zs9rjz1DthtABx+TBPTSZIazUJRkqQClW/4MfTfjXBK67QmrhPOfgcMGkz5mivJa/9wYpv86ivw0EzC2FMIpbYCEkqSGsVCUZKkguT5D8H8BwlvfSehd++i4/yB0NGL0iUfgcULybf/+g/25xmToLOTMOHU5oeTJDWUhaIkSQUp3/Bj2HV3wsnnFB1ls8KxY+CYMeQbriW/vGyDffneO2HY/oRhBxQTTpLUMBaKkiQVID8yBx59qDI2sVfrtSaur3TJh6FzDfn6q9/ctnbR0/Dko66dKEndlIWiJElNlnOutiYOIJx8dtFxtirsuTfh7HeQp91FfvQhAN64ayKEEmHcyQWnkyQ1goWiJEnN9sgceGwu4a0XtXxr4jrhrRfDgEGUf/w/5LVrWXnXRBh+DGG3PYqOJklqAAtFSZKaqNKaeA3stgfh5LOKjlOz0Ls3pUsug0VPk6/6d8pLnrfbqSR1YxaKkiQ107wHYMFcwrkXETp6FZ1m24ycAEeMIM+YDL13IowcX3QiSVKDWChKktQkb45N3H0g4cSu05q4TgiB0rsvh7Z2dppwKmGnPkVHkiQ1SHvRASRJ6jHmzobHHyG8508IHR1Fp9kuYfAwSl/8F3Y55HBeXLW66DiSpAaxRVGSpCZ4szVxwEDCCW8pOs4OCfseSGmX/kXHkCQ1kC2KkiTVQX7yMVjxyub3L14ET8wn/PGfdtnWRElSz1F4oRhjvBj4G2A4MDaldF91ey/gf4DjgDLwyZTSndV9o4GrgT7ATdV9udnZJUkCyM8+SfkfPrP1A/fYk3DCGY0PJEnSDiq8UAQeAt5BpShc30cAUkpHxxj3BG6OMY5JKZWBbwGXA/dSKRTPAW5uXmRJkn4vT58EpRKlT/8dbGkm00GDCe22JkqSWl/hhWJKaR5AjHHjXUcAt1WPWRJjfBk4Lsb4LNA/pTS1et4PgLdhoShJKkDOubJcxBEjCIcfU3QcSZLqovBCcQseAC6MMV4L7AOMrn4tAwvXO24hMLT58SRJAp6YD8uWEP7o0qKTSJJUN00pFGOMtwKDN7HrSymlX27mtKuojFu8D3gauAdYC4RNHLvZ8YkxxsupdFMlpcTAgQO3Ibm6q/b2du8FtTTv0a7jlV/MYGVHLwaecS6lnfsVHadpvEfV6rxH1epa/R5tSqGYUjpzO85ZC3x63fsY4z3AY8BLwLD1Dh0GPLeF61wJXFl9m5cuXbqtUdQNDRw4EO8FtTLv0a4hlzspT7kVjhrFiyvfgJVvFB2pabxH1eq8R9XqirpHhwwZUtNxLdv1NMbYFwgppRUxxrcAa1NKc6v7Xo0xjgemAe8DvllgVElST/Xow7D8JcKYk4tOIklSXRVeKMYY306l0BsE3BhjnJ1SOhvYE5gYYywDi4D3rnfaR/n98hg340Q2kqQC5BmTofdOhGPGFB1FkqS6Cjn3qOUH83PPbbaXqnoQu6Oo1XmPtr68di3lP38/4chRlD5SwxqK3Yz3qFqd96haXcFdTzc178sGSo2PIklSNzRvNqx4lTD2pKKTSJJUdxaKkiRthzx9MvTdGY4YWXQUSZLqzkJRkqRtlFevIs++lzByAqGjo+g4kiTVnYWiJEnb6qGZ8MZKwlhnO5UkdU8WipIkbaM8fTLssiscdnTRUSRJaggLRUmStkF+43XynBmE404gtLUVHUeSpIawUJQkaRvk2dNhzWrCGLudSpK6LwtFSZK2QZ4xGXYfCAcdXnQUSZIaxkJRkqQa5RWvwsOzCGNOIpT8FSpJ6r78LSdJUo3y/VOhcy1h7ElFR5EkqaEsFCVJqlGeMRn23Bv2PajoKJIkNZSFoiRJNcjLX4JHHqx0Ow2h6DiSJDWUhaIkSTXIM++GXCaMdbZTSVL3Z6EoSVIN8ozJMHQ/wpB9i44iSVLDWShKkrQVedkLsGAeYYyT2EiSeob2ogNIktRI+bG5lH91DZTL23+RV14GsFCUJPUYFoqSpG4rr1pF+Tv/CmvXwOCh23+hXfoTjryQsOfe9QsnSVILs1CUJHVb+TfXw4svUPqLfyAcelTRcSRJ6jIcoyhJ6pbykufJv/kZYewpFomSJG0jC0VJUrdUvu470NZOuPgDRUeRJKnLsVCUJHU7+YEZMGcG4YJ3EXbbo+g4kiR1ORaKkqRuJa9ZTfm6b8PgYYQzzi86jiRJXZKFoiSpW8kTfw4vLKb07ssJ7R1Fx5EkqUuyUJQkdRt52RLyzT+B0ccTjhhRdBxJkrosC0VJUrdRTt8FAqWLLys6iiRJXZqFoiSpW8gPz4L7pxLOvZiwx6Ci40iS1KVZKEqSury8dg3la6+EPfcmnPX2ouNIktTlWShKkrq8fOsNsHgRpXddTuhwAhtJknaUhaIkqUvLLy0j//o6OHYs4ejRRceRJKlbsFCUJHVp+frvQWcnpUs+XHQUSZK6DQtFSVKXlZe/RJ4xmXDGBYRBg4uOI0lSt2GhKEnqsvKsqZAzYcLpRUeRJKlbsVCUJHVZeeY9MHgYDNmn6CiSJHUrFoqSpC4pv7oc5j9EGH08IYSi40iS1K1YKEqSuqQ8617IZcLoE4qOIklSt2OhKEnqkvLMe2DQYBi2f9FRJEnqdiwUJUldTl7xKsyfQxh9gt1OJUlqAAtFSVKXk2dPh85Owujji44iSVK3ZKEoSepy8sy7YY89Yb+Di44iSVK3ZKEoSepS8usrYO5sZzuVJKmBLBQlSV1KnjMdOtcSRtntVJKkRrFQlCR1KXnmVNhtDzjg0KKjSJLUbVkoSpK6jPzG6/DQzEq305K/wiRJahR/y0qSuoz84ExYUzmG/AAADUhJREFUu8Zup5IkNZiFoiSpy8gz74Zdd4eDDy86iiRJ3ZqFoiSpS8irVsGDMwkjJxBKbUXHkSSpW2svOoAkle++jXzPbUXHaCkvdnTQuWbNZveH/Q8mvPMDPWuc3sMzYfUqwqgJRSeRJKnb60F/YUhqRfmpx8g/+CYsf6noKF3HmtXkW35BvvOmopM0VZ55D/TrD4ceVXQUSZK6PVsUJRUmr15F+bv/Dv13p/TFfyb07Vd0pJYxYOBAli5dusl9OWfK3/g78k+vJh8xgjB4WJPTNV9es5r8wAzC2JMIbXY7lSSp0WxRlFSY/LMfwOKFlD54hUXiNgghUHr/J6CjN+Wrvkbu7Cw6UuM9PAtWrSSMPqHoJJIk9QgWipIKkec9QL7tV4TTziMcMbLoOF1O2G0A4T0fhScfJd/8k6LjNFyeeQ/07QeHHV10FEmSegQLRUlNl19/jfLVX4e9hhLe+YGi43RZpTEnEsaeQv71deSnFxQdp2Hy2jXkB6YTRowjtDtiQpKkZrBQlNR0+dpvw8svUrrs04TevYuO06WFS/8P7LIb5e/+O3n1qqLjNMa8ObByBWH08UUnkSSpx7BQlNRU+f57yFPvIJwbCQccWnScLi/s3I/SB6+A558l//xHRcdpiDzzbujTF4aPKDqKJEk9hoWipKbJy1+i/MP/gn0PIpwXi47TbYQjRhJOO5d86y/Jj8wpOk5d5bVrybOnEY4dS+joKDqOJEk9RuGDPWKM/wxcAKwGHgc+mFJ6ubrvC8BlQCdwRUppYnX7OcDXgTbgOymlrxSRXVLtcs6Uf/if8MbKSpdTx5rVVXjnB8gPz6b8va9T+utvEPruXHSk7ZLLnbB0CfxuEXnxInjqMVjxqt1OJUlqslb4S+23wBdSSmtjjF8FvgB8LsZ4BPAu4EhgCHBrjHFdP7X/BN4CLARmxBhvSCnNLSC7pBrlu2+FB6YTLrmMMGTfouN0O6H3TpQu+zTlr3yOfN13CB/8ZEM/L7+8DB5/hPzKyzt4oQwvv0j+3SJYvAiWPA9r1/x+f99+cORIOHLUjn2OJEnaJoUXiimlW9Z7ey9wUfX7C4FrU0qrgCdjjAuAsdV9C1JKTwDEGK+tHmuhKLWo/MJi8rXfgcOOJpx+QdFxuq1w4GGEcy8i35jII8YRRo6vy3VzuRMWPUNeMA8en1f5umxJXa4NQFsbDBpcmQX36NGVr4OHweCh0K8/IYT6fZYkSapJ4YXiRj4EXFf9fiiVwnGdhdVtAM9utH1c46PVX379NfIdNxUdo0d6rW9fyq+/XnSMHiPPuhdKgdIHP0koOTS6kcL5l5AfvI/yD/6DsOhp2JEia/Uq8lOPwRPz4Y2VlW27DoCDDyeccQHh4OGwx5479hkAfXa2K7IkSS2mKb+ZY4y3AoM3setLKaVfVo/5ErAW+N/qvk395ZHZ9AQ8eQuffTlwOUBKiYEDB25D8sbq/N1qlv6ie85S2OpWFB2gp+noRf9PfJE+hx1RdJIuo729fbufV2v//Mu8+JcfI//yf7d+8JaEQPt+B9Fx6jl0HH4MvQ4/mtKee9vCJ2DH7lGpGbxH1epa/R5tSqGYUjpzS/tjjO8HzgfOSCmtK/oWAvusd9gw4Lnq95vbvqnPvhK4svo2L126dBuSN1YudVD61s+KjtEjDRw4kFa6F7q9EFjR1sYK/5vXbIfu0T67EP75akK5vGMhQiC3tbGaymxjKwCWLduxa6rb8DmqVuc9qlZX1D06ZMiQmo4rvK9PdQbTzwGnpJTW7wt4A/DjGOO/UZnM5hBgOpWWxkNijAcAi6hMeHNpc1PXRwgB7G5ViNDeblc3dWuhVAK7+UqSpO3UCn9F/AewC/DbGOPsGON/A6SUHgYSlUlqfgN8LKXUmVJaC3wcmAjMqxyaHi4muiRJkiR1PyHnzQ7v647yc89ttpeqehC7o6jVeY+q1XmPqtV5j6rVFdz1dKsTDrRCi6IkSZIkqYVYKEqSJEmSNmChKEmSJEnagIWiJEmSJGkDFoqSJEmSpA1YKEqSJEmSNmChKEmSJEnagIWiJEmSJGkDFoqSJEmSpA1YKEqSJEmSNmChKEmSJEnagIWiJEmSJGkDFoqSJEmSpA1YKEqSJEmSNhByzkVnaKYe9cNKkiRJ0iaErR3Q01oUgy9fQIgxziw6gy9fW3p5j/pq9Zf3qK9Wf3mP+mr1V8H36Fb1tEJRkiRJkrQVFoqSJEmSpA1YKKqnurLoANJWeI+q1XmPqtV5j6rVtfQ92tMms5EkSZIkbYUtipIkSZKkDbQXHUBqpBjjPsAPgMFAGbgypfT1GOMA4Dpgf+ApIKaUXioqpxRjbAPuAxallM6PMR4AXAsMAO4H3ptSWl1kRvVcMcbdgO8AR1FZaupDwHx8jqpFxBg/DXyYyv35IPBBYG98jqpAMcargPOBJSmlo6rbNvk3aIwxAF8HzgVeBz6QUrq/iNzr2KKo7m4t8JmU0nBgPPCxGOMRwOeB21JKhwC3Vd9LRfokMG+9918F/r16j74EXFZIKqni68BvUkqHA8dSuVd9jqolxBiHAlcAx1X/GG8D3oXPURXvauCcjbZt7tn5VuCQ6uty4FtNyrhZForq1lJKz6/715iU0qtU/rgZClwIfL962PeBtxWTUIIY4zDgPCotNlT/VfF04PrqId6jKkyMsT9wMvBdgJTS6pTSy/gcVWtpB/rEGNuBvsDz+BxVwVJKk4AXN9q8uWfnhcAPUko5pXQvsFuMce/mJN00C0X1GDHG/YGRwDRgr5TS81ApJoE9C4wmfQ34LJXu0QB7AC+nlNZW3y+k8g8cUhEOBF4AvhdjnBVj/E6McWd8jqpFpJQWAf8CPEOlQFwOzMTnqFrT5p6dQ4Fn1zuu8HvWQlE9QoyxH/BT4FMppVeKziOtE2NcN3Zh5nqbwyYOdYpqFaUdGAV8K6U0EliB3UzVQmKMu1NpjTkAGALsTKUb38Z8jqqVtdzvfgtFdXsxxg4qReL/ppR+Vt38u3XN+dWvS4rKpx7vBOCPYoxPUZl04XQqLYy7VbtQAQwDnismnsRCYGFKaVr1/fVUCkefo2oVZwJPppReSCmtAX4GHI/PUbWmzT07FwL7rHdc4feshaK6tepYr+8C81JK/7berhuA91e/fz/wy2ZnkwBSSl9IKQ1LKe1PZfKF21NK7wHuAC6qHuY9qsKklBYDz8YYD6tuOgOYi89RtY5ngPExxr7V3/vr7lGfo2pFm3t23gC8L8YYYozjgeXruqgWxeUx1N2dALwXeDDGOLu67YvAV4AUY7yMyi+YiwvKJ23O54BrY4z/D5hFdSIRqSCfAP43xtgLeILK0gMlfI6qBaSUpsUYr6eyBMZaKs/MK4Eb8TmqAsUYrwFOBQbGGBcCf83m/wa9icrSGAuoLI/xwaYH3kjI2e7akiRJkqTfs+upJEmSJGkDFoqSJEmSpA1YKEqSJEmSNmChKEmSJEnagIWiJEmSJGkDFoqSJNVJjPHmGOP7t37kNl3zb2KMP6rnNSVJ2hrXUZQkaSMxxqeAvYDO9TZfnVL6+JbOSym9tZG5JElqFgtFSZI27YKU0q1Fh5AkqQgWipIk1SjG+AHgI8D9wPuA54GPpZRuq+6/E/hRSuk7McaDge8CI4A1wG0ppUuqxx0PfB04FHgU+GRK6Z7qvgOAq4FRwL3A/I0yjAf+DTgCeLp67p2N+pklST2TYxQlSdo244AngIHAXwM/izEO2MRxXwZuAXYHhgHfBKgeeyPwDWAPKkXfjTHGParn/RiYWb3+l4E3xzzGGIdWz/1/wADgz4GfxhgH1fdHlCT1dLYoSpK0ab+IMa5d7/1fUGkZXAJ8LaWUgetijJ8BzgN+uNH5a4D9gCEppYXAlOr284DHUkrrjr8mxngFcEGM8XZgDHBmSmkVMCnG+Kv1rvnHwE0ppZuq738bY7wPOBf4fh1+ZkmSAAtFSZI2520bj1Gsdj1dVC0S13kaGLKJ8z9LpUVweozxJeBfU0pXVY99eqNjnwaGVve9lFJasdG+farf7wdcHGO8YL39HcAd2/KDSZK0NRaKkiRtm6ExxrBesbgvcMPGB6WUFlMZz0iM8UTg1hjjJOA5KgXf+vYFfkNlzOPuMcad1ysW9wXWfdazwA9TSh+p5w8kSdLGLBQlSdo2ewJXxBj/C3gbMBy4aeODYowXA1Or3U5folLsdVaP/WaM8VIgAe+kMjHNr1NKS6tdSf82xvhFYCxwAb8vRH8EzIgxng3cSqU1cTywoPo5kiTVhYWiJEmb9qsY4/rrKP4W+CUwDTgEWAr8DrgopbRsE+ePAb4WY9y1etwnU0pPAsQYz6cy6+m3gAXA+SmlpdXzLqUy3vBFYCrwA2A3gJTSszHGC4F/Aq6hUnhOBz5arx9akiSAkHPe+lGSJGndGMUPp5ROLDqLJEmN5PIYkiRJkqQNWChKkiRJkjZg11NJkiRJ0gZsUZQkSZIkbcBCUZIkSZK0AQtFSZIkSdIGLBQlSZIkSRuwUJQkSZIkbcBCUZIkSZK0gf8PQGt3a4R4kb4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e79cd68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1ec36da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<matplotlib.figure.Figure at 0x1c1a36d8>,\n",
       " <matplotlib.figure.Figure at 0x1e79cd68>,\n",
       " <matplotlib.figure.Figure at 0x1ec36da0>)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def plot_cost_to_go_mountain_car(env, estimator, niter, num_tiles=20):\n",
    "    x = np.linspace(env.observation_space.low[0], env.observation_space.high[0], num=num_tiles)\n",
    "    y = np.linspace(env.observation_space.low[1], env.observation_space.high[1], num=num_tiles)\n",
    "    X, Y = np.meshgrid(x, y)\n",
    "    Z = np.apply_along_axis(lambda _: -np.max(estimator.predict(_)), 2, np.dstack([X, Y]))\n",
    "\n",
    "    fig = plt.figure(figsize=(15,7.5))\n",
    "    ax = fig.add_subplot(111, projection='3d')\n",
    "    surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1,\n",
    "                           cmap=matplotlib.cm.coolwarm, vmin=0, vmax=160)\n",
    "    ax.set_xlabel('Position')\n",
    "    ax.set_ylabel('Velocity')\n",
    "    ax.set_zlabel('Value')\n",
    "    ax.set_zlim(0, 160)\n",
    "    ax.set_facecolor(\"white\")\n",
    "    ax.set_title(\"Cost To Go Function (iter:{})\".format(niter))\n",
    "    fig.colorbar(surf)\n",
    "    plt.show()\n",
    "    \n",
    "def plot_episode_stats(stats, smoothing_window=10, noshow=False):\n",
    "    # Plot the episode length over time\n",
    "    fig1 = plt.figure(figsize=(15,7.5))\n",
    "    plt.plot(stats.episode_lengths)\n",
    "    plt.xlabel(\"Episode\")\n",
    "    plt.ylabel(\"Episode Length\")\n",
    "    plt.title(\"Episode Length over Time\")\n",
    "    if noshow:\n",
    "        plt.close(fig1)\n",
    "    else:\n",
    "        plt.show(fig1)\n",
    "\n",
    "    # Plot the episode reward over time\n",
    "    fig2 = plt.figure(figsize=(15,7.5))\n",
    "    rewards_smoothed = pd.Series(stats.episode_rewards).rolling(smoothing_window, min_periods=smoothing_window).mean()\n",
    "    plt.plot(rewards_smoothed)\n",
    "    plt.xlabel(\"Episode\")\n",
    "    plt.ylabel(\"Episode Reward (Smoothed)\")\n",
    "    plt.title(\"Episode Reward over Time (Smoothed over window size {})\".format(smoothing_window))\n",
    "    if noshow:\n",
    "        plt.close(fig2)\n",
    "    else:\n",
    "        plt.show(fig2)\n",
    "\n",
    "    # Plot time steps and episode number\n",
    "    fig3 = plt.figure(figsize=(15,7.5))\n",
    "    plt.plot(np.cumsum(stats.episode_lengths), np.arange(len(stats.episode_lengths)))\n",
    "    plt.xlabel(\"Time Steps\")\n",
    "    plt.ylabel(\"Episode\")\n",
    "    plt.title(\"Episode per time step\")\n",
    "    if noshow:\n",
    "        plt.close(fig3)\n",
    "    else:\n",
    "        plt.show(fig3)\n",
    "\n",
    "    return fig1, fig2, fig3\n",
    "\n",
    "\n",
    "plot_cost_to_go_mountain_car(env, estimator, 100)\n",
    "plot_episode_stats(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
